The Identification of Direct and Indirect Effects in Studies with an Unmeasured Intermediate Variable
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Publication:2791838
DOI10.1111/sjos.12176zbMath1364.62263OpenAlexW2141534271MaRDI QIDQ2791838
Publication date: 16 March 2016
Published in: Scandinavian Journal of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/sjos.12176
Multivariate analysis (62H99) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)
Cites Work
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- Identification and estimation of nonlinear models with misclassification error using instrumental variables: a general solution
- Conceptual issues concerning mediation, interventions and composition
- Identification, inference and sensitivity analysis for causal mediation effects
- Bayesian inference for causal effects: The role of randomization
- The evaluation of surrogate endpoints.
- On estimation of parameters in latent structure analysis
- SELECTION OF POST-TREATMENT VARIABLES FOR ESTIMATING TOTAL EFFECT FROM EMPIRICAL RESEARCH
- On the Estimation Accuracy of Causal Effects using Supplementary Variables
- Measurement bias and effect restoration in causal inference
- Controlled Direct and Mediated Effects: Definition, Identification and Bounds
- Latent Variable Models and Factor Analysis
- A Measure of the Proportion of Treatment Effect Explained by a Surrogate Marker
- Graphical identifiability criteria for causal effects in studies with an unobserved treatment/response variable
- Nonparametric Identification of Finite Mixture Models of Dynamic Discrete Choices
- Related Causal Frameworks for Surrogate Outcomes
- The central role of the propensity score in observational studies for causal effects
- IDENTIFIABILITY CRITERIA FOR CAUSAL EFFECTS OF JOINT INTERVENTIONS
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Causal Inference for Statistics, Social, and Biomedical Sciences
- On the identification of path analysis models with one hidden variable
- Equivalence between direct and indirect effects with different sets of intermediate variables and covariates
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